token.app › Compare › R1 vs GLM 5.2
R1 vs GLM 5.2
GLM 5.2 leads on 2 of 2 shared benchmarks. GLM 5.2 is 3.0× cheaper per token on a blended 3:1 basis. GLM 5.2 accepts the larger context window (1.0M).
Head to head
Blended price uses a 3:1 input:output mix
| R1 | GLM 5.2 | |
|---|---|---|
| Provider | DeepSeek | Zhipu AI |
| Input $/1M | $0.700 | $0.252 |
| Output $/1M | $2.50 | $0.792 |
| Blended $/1M | $1.15 | $0.387 |
| Context window | 164K | 1.0M |
| Max output | 16K | 128K |
| Released | Jan 2025 | Jun 2026 |
| Licence | Open weights | Open weights |
| GPQA Diamond | 71.7% | 91.9% |
| OTIS Mock AIME | 53.3% | 86.4% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose R1 if…
- No clear advantage on the data we hold.
Choose GLM 5.2 if…
- Costs less per token — $0.387 vs $1.15 blended
- Higher GPQA Diamond (91.9% vs 71.7%)
- Higher OTIS Mock AIME (86.4% vs 53.3%)
- Larger context window (1.0M)
- Newer model (released Jun 2026)
FAQ
Which is better, R1 or GLM 5.2?
Across the 2 benchmarks both models have independently-run scores for, R1 leads on 0 and GLM 5.2 leads on 2. Benchmarks are one input — price and context window are on this page too.
Is R1 cheaper than GLM 5.2?
GLM 5.2 is cheaper: $0.387 versus $1.15 per million tokens blended at 3:1 input:output. Input alone: $0.700 vs $0.252. Output alone: $2.50 vs $0.792.
What context windows do R1 and GLM 5.2 have?
R1: 163,840 tokens. GLM 5.2: 1,048,576 tokens.
Who makes R1 and GLM 5.2?
R1 is made by DeepSeek. GLM 5.2 is made by Zhipu AI.